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CeDR Atlas: a knowledgebase of cellular drug response
Drug response to many diseases varies dramatically due to the complex genomics and functional features and contexts. Cellular diversity of human tissues, especially tumors, is one of the major contributing factors to the different drug response in different samples. With the accumulation of single-c...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728137/ https://www.ncbi.nlm.nih.gov/pubmed/34634794 http://dx.doi.org/10.1093/nar/gkab897 |
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author | Wang, Yin-Ying Kang, Hongen Xu, Tianyi Hao, Lili Bao, Yiming Jia, Peilin |
author_facet | Wang, Yin-Ying Kang, Hongen Xu, Tianyi Hao, Lili Bao, Yiming Jia, Peilin |
author_sort | Wang, Yin-Ying |
collection | PubMed |
description | Drug response to many diseases varies dramatically due to the complex genomics and functional features and contexts. Cellular diversity of human tissues, especially tumors, is one of the major contributing factors to the different drug response in different samples. With the accumulation of single-cell RNA sequencing (scRNA-seq) data, it is now possible to study the drug response to different treatments at the single cell resolution. Here, we present CeDR Atlas (available at https://ngdc.cncb.ac.cn/cedr), a knowledgebase reporting computational inference of cellular drug response for hundreds of cell types from various tissues. We took advantage of the high-throughput profiling of drug-induced gene expression available through the Connectivity Map resource (CMap) as well as hundreds of scRNA-seq data covering cells from a wide variety of organs/tissues, diseases, and conditions. Currently, CeDR maintains the results for more than 582 single cell data objects for human, mouse and cell lines, including about 140 phenotypes and 1250 tissue-cell combination types. All the results can be explored and searched by keywords for drugs, cell types, tissues, diseases, and signature genes. Overall, CeDR fine maps drug response at cellular resolution and sheds lights on the design of combinatorial treatments, drug resistance and even drug side effects. |
format | Online Article Text |
id | pubmed-8728137 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-87281372022-01-05 CeDR Atlas: a knowledgebase of cellular drug response Wang, Yin-Ying Kang, Hongen Xu, Tianyi Hao, Lili Bao, Yiming Jia, Peilin Nucleic Acids Res Database Issue Drug response to many diseases varies dramatically due to the complex genomics and functional features and contexts. Cellular diversity of human tissues, especially tumors, is one of the major contributing factors to the different drug response in different samples. With the accumulation of single-cell RNA sequencing (scRNA-seq) data, it is now possible to study the drug response to different treatments at the single cell resolution. Here, we present CeDR Atlas (available at https://ngdc.cncb.ac.cn/cedr), a knowledgebase reporting computational inference of cellular drug response for hundreds of cell types from various tissues. We took advantage of the high-throughput profiling of drug-induced gene expression available through the Connectivity Map resource (CMap) as well as hundreds of scRNA-seq data covering cells from a wide variety of organs/tissues, diseases, and conditions. Currently, CeDR maintains the results for more than 582 single cell data objects for human, mouse and cell lines, including about 140 phenotypes and 1250 tissue-cell combination types. All the results can be explored and searched by keywords for drugs, cell types, tissues, diseases, and signature genes. Overall, CeDR fine maps drug response at cellular resolution and sheds lights on the design of combinatorial treatments, drug resistance and even drug side effects. Oxford University Press 2021-10-11 /pmc/articles/PMC8728137/ /pubmed/34634794 http://dx.doi.org/10.1093/nar/gkab897 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Wang, Yin-Ying Kang, Hongen Xu, Tianyi Hao, Lili Bao, Yiming Jia, Peilin CeDR Atlas: a knowledgebase of cellular drug response |
title | CeDR Atlas: a knowledgebase of cellular drug response |
title_full | CeDR Atlas: a knowledgebase of cellular drug response |
title_fullStr | CeDR Atlas: a knowledgebase of cellular drug response |
title_full_unstemmed | CeDR Atlas: a knowledgebase of cellular drug response |
title_short | CeDR Atlas: a knowledgebase of cellular drug response |
title_sort | cedr atlas: a knowledgebase of cellular drug response |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728137/ https://www.ncbi.nlm.nih.gov/pubmed/34634794 http://dx.doi.org/10.1093/nar/gkab897 |
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